Skip to main navigation menu Skip to main content Skip to site footer

Research Articles

Early Access

Agronomic evaluation of maize inbred lines and their potential to produce hybrids adapted to a tropical environment

DOI
https://doi.org/10.14719/pst.7611
Submitted
5 February 2025
Published
27-08-2025
Versions

Abstract

Maize is the most extensively grown cereal worldwide. It is planted on approximately 197 million hectares and, together with wheat and rice, constitutes a major element of the human diet as well as a key component in global food security. In Malaysia, maize is mainly used for animal feed, although 100 % of it is imported, which affects the nation´s food security status. In this sense, developing maize hybrids and varieties could be crucial for the successful cultivation of maize in the country. This study was conducted in Gambang, Pahang, Malaysia, to identify maize inbreds with the best adaptability for the region and the necessary characteristics to be used as inbred parents for developing outstanding hybrids. A total of 17 maize inbreds obtained from Asia and CIMMYT, Mexico were planted in a randomized complete block design (RCBD) with two replications. Each replication was planted on separate planting dates. A full diallel-cross was implemented to determine their ability to produce hybrids in all possible combinations. With the one-way analysis of variance (ANOVA), it was noticed that the seed weight, leaf number and ear aspect of the inbreds had significant differences. The inbreds HPOOL23 and MrChua-OP1 showed the highest seed weight values when used as either males or females. Moreover, the neighbor-joining method helped to identify the inbreds with high yield and good ear quality. This study will serve as a basis for understanding the behaviour of inbreds in hybrid development.

References

  1. 1. FAOSTAT. FAO Stat [Internet]. Rome: FAO; 2021 [cited 2020 Dec 06]. Available from: https://www.fao.org/economic/the-statistics-division-ess/methodology/methodology-systems/crops-statistics-concepts-definitions-and-classifications/en/
  2. 2. FAO. The Future of Food and Agriculture: Trends and challenges [Internet]. Rome: FAO; 2017 [cited 2020 Dec 06]. Available from: http://www.fao.org/3/a-i6583e.pdf
  3. 3. Poole N, Donovan J, Erenstein O. Agri-nutrition research: Revisiting the contribution of maize and wheat to human nutrition and health. Food Policy. 2020;101:101976. https://doi.org/10.1016/j.foodpol.2020.101976
  4. 4. Nor NA, Rabu MR, Adnan MA, Rosali MH. An overview of the grain corn industry in Malaysia. FFTC Agri Policy Platform (FFTC-AP). 2019. [cited 2020 Mar]. Issue 10:2020.
  5. 5. USDA. Malaysia: Grain and feed annual [Internet]. Washington, D.C.: United States Department of Agriculture; 2020 [cited 2020 Dec 6]. Available from: https://apps.fas.usda.gov/newgainapi/api/Report/DownloadReportByFile
  6. Name?fileName=Grain%20and%20Feed%20Annual_Kuala%20Lumpur_Malaysia_03-15-2020
  7. 6. FAO. Global Information and Early Warning System (GIEWS) [Internet]. Rome: FAO; 2025 [cited 2025 Mar 26]. Available from: https://www.fao.org/giews/countrybrief/country.jsp?code=MYS&lang=en
  8. 7. Mohammad N, Mohd Pakri MA, Nik Omar NR, Nazm MS, Zainol Abidin AZ, Rabu MR, et al. Quantifying farmers’ willingness and perception towards grain corn cultivation. Eco Tech Manag Rev. 2022;18:1–9.
  9. 8. Flint-Garcia SA, Buckler ES, Tiffin P, Ersoz E, Springer NM. Heterosis is prevalent for multiple traits in diverse maize germplasm. PloS One. 2009;;4(10):4:e7433. https://doi.org/10.1371/journal.pone.0007433
  10. 9. Barrett BA, Kidwell KK. AFLP-based genetic diversity assessment among wheat cultivars from the Pacific Northwest. Crop Sci. 1998;38:1261–71. https://doi.org/10.2135/cropsci1998.0011183X003800050025x
  11. 10. Deitos A, Arnhold E, Mora F, Miranda GV. Yield and combining ability of maize cultivars under different ecogeographic conditions. Crop Breed Appl Biotechnol. 2006;6(3):222–27. https://doi.org/10.12702/1984-7033.v06n
  12. 03a06
  13. 11. Mingramm GY, Mohammed KS, Khandaker MM, Chua KA, Fatihah HNN. Combining ability for grain yield and nutritional quality of maize grown in Malaysia: a review. Sabrao J Breed Genet. 2024;56(2):534–46. https://doi.org/10.
  14. 54910/sabrao2024.56.2.7
  15. 12. Saleh G, Yap TC. Development of inbred lines in grain maize. In: Yap TC, Saad MS, editors. Progress Report 1988. Improvement of food crops: rice, corn and sweet potato. Serdang: Universiti Pertanian Malaysia. 1988.
  16. 13. Saleh G, Sujiprihati S. Heterosis with respect to diversity among locally-developed maize inbred lines in Malaysia. In: CIMMYT, editor.. Book of abstracts. The genetics and exploitation of heterosis in crops. an international symposium; 1997 Aug 17–22; Mexico City: Mexico. Mexico D.F. : CIMMYT; 1997. p. 154–55.
  17. 14. Saleh G, Sujiprihati S, Ali ES. Characterization of selected tropical maize inbred lines developed in Malaysia. J Trop Agric Fd Sc. 2001;29(1):29–38.
  18. 15. Saleh GB, Abdullah D, Anuar AR. Performance, heterosis and heritability in selected tropical maize single, double and three-way cross hybrids. J Agric Sci. 2002;138:21–28. https://doi.org/10.1017/S0021859601001757
  19. 16. Faruq G, Farhana N, Zain MF, Majid NA, Rahman MM, Rahman M, et al. Grain yield and associated traits of maize (Zea mays L.) genotypes in the Malaysian tropical environment. Afr J Res. 2011;6(28):6147–54. https://doi.org/10.
  20. 5897/AJAR11.1331
  21. 17. USDA- Foreign Agricultural Service [Internet]. 2021 [cited 2020 Dec 06]. Available from: https://ipad.fas.usda.gov/cropexplorer/cropview/comm_chartview.aspx?ftypeid=47&fattributeid=1&fctypeid=47&fcattributeid=1®ionid=seasia&cntryid=MYS&cropid=0440000&nationalgraph
  22. =False&sel_year=2021&startrow=1
  23. 18. Moreira Guimarães LJ, Miranda GV, Oliveira de Lima R, Maia C, Rodrigues de Oliveira L, Vagno de Souza L. Performance of testers with different genetic structure for evaluation of maize inbred lines. Cienc Rural. 2012;42(5):770–76. https://doi.org/10.1590/S0103-84782012000500002
  24. 19. Prasanna BM, Palacios-Rojas N, Hossain F, Muthusamy V, Menkir A, Dhliwayo T, et al. Molecular breeding for nutritionally enriched maize: status and prospects. Front Genet. 2020;10:1392. https://doi.org/10.3389/fgene.2019.
  25. 01392
  26. 20. Weather Underground, Inc [Internet]. 2025 [cited 2025 Apr 22]. Available from: https://www.wunderground.com/history/weekly/my/kuantan/WMKD/date/2023-8-20
  27. 21. Ogunsanya BG, Sulaimon MO. Application of randomized completely Block design to the Yield of Maize. Int J Sci Res. 2016;3–12.
  28. 22. Khusairy MK, Shah ES, Ahmad MH, Abdul RR, Fikri AAS. Evaluation of planting spacing and effects on the yield for Malaysian grain corn production. Adv Agri Food Res J. 2021;2(1):a0000211. https://doi.org/10.36877/aafrj.a0000211
  29. 23. Ruicheng Q, Man Z, Yong H. Field estimation of maize plant at jointing stage using an RGB-D camera. Crop J. 2022;10(5):1274–83. https://doi.org/10.1016/j.cj.2022.07.010
  30. 24. Chintamanani S, Hulbert SH, Johal GS, Balint-Kurti PJ. Identification of a maize locus that modulates the hypersensitive defense response, using mutant-assisted gene identification and characterization. Genetics. 2009;184(3):813–25. https://doi.org/10.1534/genetics.109.111880
  31. 25. Kumar B, Choudhary M, Kumar K, Kumar P, Kumar S, Bagaria PK, et al. Maydis leaf blight of maize: update on status, sustainable management and genetic architecture of its resistance. Physiol Mol.Plant Pathol. 2022;121:101889. https://doi.org/10.1016/j.pmpp.2022.101889
  32. 26. Jakhar DS, Kumari R, Kumar P, Singh R, Kumar A. Exserohilum turcicum [Pass.] resistance in maize: A sustainable agricultural approach for studying plant-microbe interactions.In: Singh HB, Sarma BK, editors. Emerging trends in plant-microbe interaction: Current advances and future challenges. Volume 1. Amsterdam: Elsevier; 2023;1:363–73.
  33. https://doi.org/10.1016/B978-0-323-91875-6.00016-5
  34. 27. Li D, Wang X, Zhang X, Chen Q, Xu G, Xu D, et al. The genetic architecture of leaf number and its genetic relationship to flowering time in maize. New Phytol. 2016;210(1):256–68. https://doi.org/10.1111/nph.13765
  35. 28. Sah RP, Chakraborty M, Prasad K, Pandit M, Tudu VK, Chakravarty MK, et al. Impact of water deficit stress in maize: Phenology and yield components. Sci Rep. 2020;10:2944. https://doi.org/10.1038/s41598-020-59689-7
  36. 29. Bonipas AJ, Rajashekhar MK, Gopalakrishna N, Sidramappa CT, Zerka R, Bindiganavile SV, et al. Maternal effects, reciprocal differences and combining ability study for yield and its component traits in maize (Zea mays L.) through modified diallel analysis. Peer J. 2024;12:e17600. https://doi.org/10.7717/peerj.17600
  37. 30. Wang J, Zhao S, Zhang Y, Lu X, Du J, Wang C, et al. Investigating the genetic basis of maize ear characteristics: A comprehensive genome-wide study utilizing high-throughput phenotypic measurement method and system. Front Plant Sci. 2023;14:1248446. https://doi.org/10.3389/fpls.2023.1248446
  38. 31. Sadalla HA, Barznji MO, Kakarash SA. Full diallel crosses for estimation of genetic parameters in maize. Iraqi J Agric Sci. 2017;48(SI):30–40. https://doi.org/10.36103/ijas.v48iSpecial.243
  39. 32. Fan XM, Zhang YD, Jeffers DP, Bi YQ, Kang MS, Yin XF. Combining ability of yellow lines derived from CIMMYT
  40. populations for use in subtropical and tropical mid-altitude maize production environments. Crop Sci. 2018;58:169–79. https://doi.org/10.2135/cropsci2017.05.0291
  41. 33. Freedman D, Pisani R, Purves R. Statistics (international student edition). 4th ed. New York: WW Norton & Company; 2007.
  42. 34. Saitou N, Nei M. The neighbor-joining method: A new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4(4):406–25.
  43. 35. SAS Institute Inc. SAS/STAT® 15.3 User’s Guide. Cary, NC: SAS Institute Inc; 2023 [cited 2025 Jul 06]. Available from: https://welcome.sas.oda.com
  44. 36. Suwarno WB, Sobir, Sitaresmi T. PBSTAT-CL: Cluster analysis for plant genetic diversity studies (Version 2.2.1) [computer software]. Bogor: IPB University; 2025. https://www.pbstat.com
  45. 37. Mousavi SMN, Nagy J. Evaluation of plant characteristics related to grain yield of FAO410 and FAO340 hybrids using regression models. Cereal Res Commun. 2020;49:161–69. https://doi.org/10.1007/s42976-020-00076-3
  46. 38. Abakemal D, Hussein S, Derera J, Laing M. Farmers’ perceptions of maize production systems and breeding priorities and their implications for the adoption of new varieties in selected areas of the highland agro-ecology of Ethiopia. J Agric Sci. 2013;5(11):159–72. https://doi.org/10.5539/jas.v5n11p159
  47. 39. Hammer GL, Sinclair TR, Chapman SC, Van Oosterom E. On systems thinking, systems biology and the in silico plant. Plant Physiol. 2009;149(3):1164–72.
  48. 40. Pixley KV, Bjarnason MS. Stability of grain yield, endosperm modification and protein quality of hybrid and open-pollinated quality protein maize (QPM) cultivars. Crop Sci. 2002;42(6):1880–87. https://doi.org/10.2135/cropsci2002.
  49. 1882
  50. 41. Smith DR, White DG. Diseases of Corn. In: Sprague G F, Dudley J W, editors. Corn and corn improvement. 3rd ed. Madison, WI: ASA, CSSA and SSSA. 1998. p. 687–766. https://doi.org/10.2134/agronmonogr18.3ed.c12
  51. 42. Wang J, Zhao S, Zhang Y, Lu X, Du J, Wang C, et al. Investigating the genetic basis of maize ear characteristics: a comprehensive genome–wide study utilizing high-throughput phenotypic measurement method and system. Front Plant Sci. 2023;14. https://doi.org/10.3389/fpls.2023.1248446
  52. 43. Ferreira CM, Saluci JCG, Vivas M, Santos JS, de Andrade Junior MS, Vivas JMS, et al. Characterization of the Bipolaris maydis: symptoms and pathogenicity in popcorn genotypes (Zea mays L.). Braz J Biol. 2021;84:e256799. https://doi.org/10.1590/1519-6984.256799
  53. 44. Sánchez-Ramirez FJ, Mendoza-Castillo MC, Mendoza-Rodríguez M, Castillo González F, Cruz-Izquierdo S, Castro-Nava S, et al. Combining ability of inbred lines for maize (Zea mays L.) single cross hybrid production under irrigation. Agrociencia. 2017;51(4):393–407.
  54. 45. Sibale EM, Darrah LL, Zuber MS. Comparison of two cycles of recurrent selection in maize for stalk quality and grain yield. Crop Sci. 1992;32(6):1274–79.
  55. 46. Zhang P, Gu S, Wang Y, Xu C, Zhao Y, Liu X, et al. The relationships between maize (Zea mays L.) lodging resistance and yield formation on dry matter allocation to ear and stem. Crop J. 2023;11:258–68. https://doi.org/10.
  56. 1016/j.cj.2022.04.020
  57. 47. Li X, Guo T, Mu Q, Li X, Yu J. Genomic and environmental determinants and their interplay underlying phenotypic plasticity. Proc Natl Acad Sci USA. 2018;115(24):6679–84. https://doi.org/10.1073/pnas.1718326115
  58. 48. Melchinger AE. Genetic diversity and heterosis in crops. In: Coors JG, Pandey S, editors. Genetics and exploitation of heterosis in crops. Madison (WI): ASA, CSSA; 1999. p. 1999;99–118. https://doi.org/10.2134/1999.geneticsand
  59. exploitation.c10
  60. 49. Shull GH. The composition of a field of maize. Am Breeders Assoc Rep. 1908;4:296–301. https://doi.org/10.1093/jhered/os-4.1.296
  61. 50. Reif JC, Melchinger AE, Xia XC, Warburton ML, Hoisington DA. Use of SSRs for establishing heterotic groups in subtropical maize. Theor Appl Genet. 2003;107:947–57. https://doi.org/10.1007/s00122-003-1333-x

Downloads

Download data is not yet available.